For release 10:00 a.m. (EST) Tuesday, February 26, 2013 USDL-13-0286
Technical information: (202) 691-6392 * mlsinfo@bls.gov * www.bls.gov/mls
Media contact: (202) 691-5902 * PressOffice@bls.gov
MASS LAYOFFS -- JANUARY 2013
Employers took 1,328 mass layoff actions in January involving 134,026
workers as measured by new filings for unemployment insurance benefits
during the month, the U.S. Bureau of Labor Statistics reported today.
(Data are seasonally adjusted.) Each mass layoff involved at least 50
workers from a single employer. Mass layoff events decreased by 181 from
December, and the number of associated initial claims decreased by 3,813.
In January, 357 mass layoff events were reported in the manufacturing
sector resulting in 43,068 initial claims. Monthly mass layoff data are
identified using administrative data sources without regard to layoff
duration. (See table 1 and the note at the end of this release.)
The national unemployment rate was 7.9 percent in January, essentially
unchanged from the prior month and down from 8.3 percent a year earlier.
Total nonfarm payroll employment increased by 157,000 over the month and
by 2,016,000 over the year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in January was 1,528, not seasonally
adjusted, resulting in 144,517 initial claims for unemployment insurance.
(See table 2.) Over the year, the number of average weekly mass layoff
events for January decreased by 44 to 382, while associated average
weekly initial claims increased by 703 to 36,129. Eight of the 19 major
industry sectors in the private economy reported over-the-year increases
in average weekly initial claims, with the largest increase occurring in
manufacturing. (See table 3.) The six-digit industry with the largest
number of private nonfarm initial claims due to mass layoffs in January
was temporary help services. (See table A.)
In January, the manufacturing sector accounted for 31 percent of mass
layoff events and 37 percent of associated initial claims in the private
economy. Within manufacturing, the numbers of mass layoff claimants were
highest in transportation equipment and in food. Eleven of the 21
manufacturing subsectors experienced over-the-year increases in average
weekly initial claims. (See table 3.)
Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in January 2013, private nonfarm, not seasonally adjusted
Industry January peak
Initial claims Year Initial claims
Temporary help services (1) ............... 14,937 1998 26,224
Highway, street, and bridge construction .. 3,772 2000 9,680
Discount department stores ................ 3,440 2010 8,065
Professional employer organizations (1) ... 3,274 2009 11,345
Motion picture and video production ....... 3,242 1998 12,038
School and employee bus transportation .... 2,520 2010 15,131
Food service contractors .................. 2,316 2011 3,439
Payroll services .......................... 2,266 2002 8,686
Poultry processing ........................ 2,046 2013 2,046
Warehouse clubs and supercenters .......... 2,009 2011 3,508
1 See the Technical Note for more information on these industries.
Geographic Distribution (Not Seasonally Adjusted)
Among the census regions, the South had the largest number of initial
claims due to mass layoffs in January. Three of the 4 regions experienced
over-the-year increases in average weekly initial claims, with the largest
increase occurring in the South. (See table 4.)
Among the states, California had the highest number of mass layoff initial
claims in January, followed by North Carolina, Alabama, and New York.
Twenty-five states experienced over-the-year increases in average weekly
initial claims, led by California and North Carolina. (See table 4.)
Note
The monthly data series in this release cover mass layoffs of 50 or more
workers beginning in a given month, regardless of the duration of the
layoffs. For private nonfarm establishments, information on the length
of the layoff is obtained later and issued in a quarterly release that
reports on mass layoffs lasting more than 30 days (referred to as
"extended mass layoffs"). The quarterly release provides more information
on the industry classification and location of the establishment and on
the demographics of the laid-off workers. The monthly data series in this
release are subjected to average weekly analysis, which mitigates the
effect of differing lengths of months. See the Technical Note for more
detailed definitions and for a description of average weekly analysis.
____________
The Mass Layoffs new release for February 2013 is scheduled to be
released on Friday, March 22, 2013, at 10:00 a.m. (EDT).
Technical Note
The Mass Layoff Statistics (MLS) program is a federal-state program
that uses a standardized automated approach to identifying, describing,
and tracking the effects of major job cutbacks, using data from each
state's unemployment insurance database. Each month, states report on
employers which have at least 50 initial claims filed against them during
a consecutive 5-week period. These employers then are contacted by the
state agency to determine whether these separations lasted 31 days or
longer, and, if so, other information concerning the layoff is collected.
States report on layoffs lasting more than 1 month on a quarterly basis.
The monthly data present preliminary mass layoff activity in the
reference month and are not revised in subsequent months except in special
circumstances (e.g., layoffs in states affected by Hurricane Katrina).
Counts of initial claims associated with mass layoff events reflect
activity through the end of the reference month. Additional mass layoff
event and initial claims activity received after data for the reference
month have been published by BLS are not updated in the monthly mass layoff
series and, therefore, may not match revised mass layoff data issued in
state publications. However, any additional mass layoff information
meeting the extended mass layoff criteria will be reflected in BLS’
quarterly publication of extended mass layoff data.
A given month contains an aggregation of the weekly unemployment
insurance claims filings for the Sunday through Saturday weeks in that
month. All weeks are included for the particular month, except if the
first day of the month falls on Saturday. In this case, the week is
included in the prior month's tabulations. This means that some months
will contain 4 weeks and others, 5 weeks. The number of weeks in a given
month may be different from year to year, and the number of weeks in a year
may vary. Therefore, data users who intend to perform analysis of over-the-year
change in the not seasonally adjusted series should use the average weekly
mass layoff figures displayed in tables 3 and 4 of this release. The average
weekly adjustment process produces a consistent series for each month across
all years, permitting over-the-year analysis to be performed using strictly
comparable data.
The MLS program resumed operations in April 1995 after it had been
terminated in November 1992 due to lack of funding. Prior to April 1995,
monthly layoff statistics were not available.
Information in this release will be made available to sensory impaired
individuals upon request. Voice phone: (202) 691-5200; Federal Relay
Service: (800) 877-8339.
Definitions
Average weekly mass layoff events and initial claimants. The number of
events and initial claimants in a given month divided by the number of weeks
contained within that month.
Employer. Employers in the MLS program include those covered by state
unemployment insurance laws. Information on employers is obtained from the
Quarterly Census of Employment and Wages (QCEW) program, which is administered
by the Bureau of Labor Statistics (BLS).
Industry. Employers are classified according to the 2007 version of the
North American Industry Classification System (NAICS). For temporary help
and professional employers organization industries, monthly MLS-related
statistics generally reflect layoffs related to underlying client companies
in other industries. An individual layoff action at a client company can
be small, but when initial claimants associated with many such layoffs are
assigned to a temporary help or professional employer organization firm, a
mass layoff event may trigger.
Initial claimant. A person who files any notice of unemployment to
initiate a request either for a determination of entitlement to and
eligibility for compensation, or for a subsequent period of unemployment
within a benefit year or period of eligibility.
Mass layoff event. Fifty or more initial claims for unemployment insurance
benefits filed against an employer during a 5-week period, regardless of
duration.
Seasonal adjustment
Effective with the release of data for January 2005, BLS began publishing
six seasonally adjusted monthly MLS series. The six series are the numbers of
mass layoff events and mass layoff initial claims for the total, private nonfarm,
and manufacturing sectors.
Seasonal adjustment is the process of estimating and removing the effect
on time series data of regularly recurring seasonal events such as changes
in the weather, holidays, and the beginning and ending of the school year.
The use of seasonal adjustment makes it easier to observe fundamental changes
in time series, particularly those associated with general economic expansions
and contractions.
The MLS data are seasonally adjusted using the X-12-ARIMA seasonal adjustment
method on a concurrent basis. Concurrent seasonal adjustment uses all available
monthly estimates, including those for the current month, in developing seasonal
adjustment factors. Revisions to the most recent 5 years of seasonally adjusted
data will be made once a year with the issuance of December data. Before the data
are seasonally adjusted, prior adjustments are made to the original data to adjust
them for differences in the number of weeks used to calculate the monthly data.
Because weekly unemployment insurance claims are aggregated to form monthly data,
a particular month's value could be calculated with 5 weeks of data in 1 year and
4 weeks in another. The effects of these differences could seriously distort the
seasonal factors if they were ignored in the seasonal adjustment process. These
effects are modeled in the X-12-ARIMA program and are permanently removed from
the final seasonally adjusted series.
Table 1. Mass layoff events and initial claimants for unemployment insurance, February 2009 to
January 2013, seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
February ................... 3,079 334,171 2,921 318,194 1,274 152,592
March ...................... 3,022 304,175 2,827 287,023 1,261 158,119
April ...................... 2,537 246,938 2,332 231,211 1,022 114,682
May ........................ 2,712 286,089 2,522 270,051 1,206 151,114
June ....................... 2,470 248,680 2,261 231,529 1,063 140,105
July ....................... 2,184 222,776 1,976 203,347 639 76,345
August ..................... 2,358 218,380 2,119 198,877 743 75,387
September .................. 2,274 216,959 2,054 200,863 754 90,250
October .................... 1,970 196,370 1,775 178,648 567 64,681
November ................... 1,764 159,283 1,598 146,802 469 51,887
December ................... 1,720 155,738 1,549 141,699 425 44,455
2010
January .................... 1,699 169,561 1,522 155,298 461 53,303
February ................... 1,647 161,694 1,480 147,259 387 47,272
March ...................... 1,703 153,784 1,501 138,188 373 43,022
April ...................... 1,622 154,962 1,442 138,849 378 44,860
May ........................ 1,585 150,959 1,345 131,482 317 31,677
June ....................... 1,701 152,080 1,481 133,366 335 34,653
July ....................... 1,521 137,750 1,315 121,313 303 32,064
August ..................... 1,612 162,455 1,409 138,849 384 41,123
September .................. 1,526 137,074 1,303 117,582 310 33,906
October .................... 1,661 149,985 1,454 132,373 349 38,157
November ................... 1,584 153,394 1,407 138,925 353 38,097
December ................... 1,476 136,252 1,277 121,849 322 36,611
2011
January .................... 1,522 150,406 1,335 132,659 327 37,431
February ................... 1,456 137,938 1,263 123,141 312 30,036
March ...................... 1,307 119,691 1,156 106,721 269 31,699
April ...................... 1,526 145,315 1,366 130,841 352 37,177
May ........................ 1,573 144,824 1,387 129,296 399 42,238
June ....................... 1,522 144,060 1,342 129,136 359 38,630
July ....................... 1,566 144,543 1,347 123,815 342 35,458
August ..................... 1,585 168,266 1,364 153,081 374 46,267
September .................. 1,463 150,165 1,319 136,564 346 37,505
October .................... 1,349 118,135 1,220 106,478 335 32,310
November ................... 1,312 123,078 1,177 113,239 312 33,715
December ................... 1,392 144,661 1,247 129,994 346 38,469
2012
January .................... 1,435 129,169 1,298 118,127 325 32,503
February ................... 1,275 120,199 1,134 109,458 283 28,236
March ...................... 1,290 125,195 1,141 112,889 269 28,300
April ...................... 1,403 138,164 1,235 122,236 294 34,929
May ........................ 1,370 131,603 1,220 119,788 277 31,873
June ....................... 1,320 133,080 1,178 120,857 282 31,737
July ....................... 1,354 138,694 1,217 128,186 355 43,427
August ..................... 1,297 130,266 1,172 120,391 322 39,389
September .................. 1,346 125,692 1,223 116,792 365 40,287
October .................... 1,400 136,153 1,249 125,026 346 42,927
November ................... 1,749 172,879 1,574 159,872 412 47,171
December ................... 1,509 137,839 1,334 125,505 330 35,211
2013
January .................... 1,328 134,026 1,197 123,088 357 43,068
Table 2. Mass layoff events and initial claimants for unemployment insurance, February 2009 to
January 2013, not seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
February ................... 2,262 218,438 2,173 210,755 945 103,588
March ...................... 2,191 228,387 2,107 221,397 940 114,747
April ...................... 2,547 256,930 2,385 243,321 887 100,872
May ........................ 2,738 289,628 2,572 274,047 1,005 123,683
June ....................... 2,519 256,357 2,051 216,063 674 85,726
July ....................... 3,054 336,654 2,659 296,589 1,133 154,208
August ..................... 1,428 125,024 1,334 117,193 436 41,151
September .................. 1,371 123,177 1,258 115,141 448 51,126
October .................... 1,934 193,904 1,678 172,883 566 69,655
November ................... 1,870 164,496 1,679 150,751 517 55,053
December ................... 2,310 214,648 2,166 203,655 615 64,540
2010
January .................... 2,860 278,679 2,682 265,074 962 104,846
February ................... 1,183 102,818 1,091 96,022 282 30,728
March ...................... 1,197 111,727 1,111 105,514 273 29,745
April ...................... 1,840 199,690 1,697 184,654 424 55,178
May ........................ 1,354 123,333 1,170 109,203 216 19,334
June ....................... 1,861 171,190 1,355 125,872 212 21,083
July ....................... 2,124 206,254 1,732 172,248 532 64,200
August ..................... 976 92,435 897 83,021 230 23,088
September .................. 920 77,654 806 67,987 187 19,403
October .................... 1,642 148,638 1,373 127,865 351 40,861
November ................... 1,676 158,048 1,477 142,591 389 41,383
December ................... 1,931 184,130 1,763 172,881 465 52,816
2011
January .................... 2,558 246,463 2,372 229,765 693 75,006
February ................... 1,024 85,585 919 78,718 222 18,471
March ...................... 908 85,095 844 80,014 191 20,869
April ...................... 1,750 189,919 1,625 176,478 397 47,104
May ........................ 1,367 119,911 1,221 108,531 270 25,199
June ....................... 1,661 159,930 1,238 122,821 226 22,986
July ....................... 2,176 216,774 1,759 174,078 602 71,814
August ..................... 961 99,213 875 93,159 228 26,916
September .................. 1,189 117,232 1,095 107,300 296 32,058
October .................... 1,101 96,914 950 83,748 265 28,447
November ................... 1,393 127,750 1,245 117,474 349 37,799
December ................... 2,433 263,665 2,258 247,916 658 75,033
2012
January .................... 1,705 141,703 1,587 132,754 415 38,021
February ................... 895 73,974 820 69,076 196 16,555
March ...................... 1,125 117,817 1,040 110,954 242 24,241
April ...................... 1,421 146,358 1,293 132,697 256 32,518
May ........................ 1,201 109,259 1,081 100,434 186 18,800
June ....................... 1,890 198,537 1,485 158,334 255 28,570
July ....................... 1,515 157,753 1,321 144,340 559 74,963
August ..................... 1,063 104,045 992 97,694 251 31,193
September .................. 811 70,570 749 66,214 221 22,748
October .................... 1,142 109,829 968 97,390 277 37,702
November ................... 2,339 249,949 2,078 228,124 551 72,690
December ................... 1,973 187,137 1,822 177,452 477 50,686
2013
January .................... 1,528 144,517 1,424 135,970 455 50,793
Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance, not seasonally adjusted
Industry Mass layoff totals Average weekly mass layoffs (1)
Events Initial claimants Events Initial claimants
January January January January January January January January
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) .................................. 1,705 1,528 141,703 144,517 426 382 35,426 36,129
Total, private ................................... 1,634 1,466 135,663 139,018 409 367 33,916 34,755
Agriculture, forestry, fishing and hunting ... 47 42 2,909 3,048 12 11 727 762
Total, private nonfarm ......................... 1,587 1,424 132,754 135,970 397 356 33,189 33,993
Mining ....................................... 16 11 1,019 811 4 3 255 203
Utilities .................................... 4 (3) 350 (3) 1 (3) 88 (3)
Construction ................................. 194 188 13,743 13,212 49 47 3,436 3,303
Construction of buildings ................ 33 21 2,429 1,513 8 5 607 378
Heavy and civil engineering construction . 69 88 4,786 6,544 17 22 1,197 1,636
Specialty trade contractors .............. 92 79 6,528 5,155 23 20 1,632 1,289
Manufacturing ................................ 415 455 38,021 50,793 104 114 9,505 12,698
Food ..................................... 56 58 4,964 6,530 14 15 1,241 1,633
Beverage and tobacco products ............ (3) (3) (3) (3) (3) (3) (3) (3)
Textile mills ............................ 20 35 2,274 4,550 5 9 569 1,138
Textile product mills .................... 5 5 444 403 1 1 111 101
Apparel .................................. 17 16 1,899 2,149 4 4 475 537
Leather and allied products .............. (3) 4 (3) 485 (3) 1 (3) 121
Wood products ............................ 35 26 2,704 2,517 9 7 676 629
Paper .................................... 8 5 833 314 2 1 208 79
Printing and related support activities .. 16 5 1,347 483 4 1 337 121
Petroleum and coal products .............. 4 (3) 273 (3) 1 (3) 68 (3)
Chemicals ................................ 13 10 1,064 849 3 3 266 212
Plastics and rubber products ............. 24 20 1,931 1,761 6 5 483 440
Nonmetallic mineral products ............. 36 19 2,569 1,317 9 5 642 329
Primary metals ........................... 15 26 1,649 2,274 4 7 412 569
Fabricated metal products ................ 23 29 1,643 2,522 6 7 411 631
Machinery ................................ 22 34 1,938 5,404 6 9 485 1,351
Computer and electronic products ......... 15 15 876 1,287 4 4 219 322
Electrical equipment and appliances ...... 11 18 1,797 2,099 3 5 449 525
Transportation equipment ................. 47 86 5,969 11,930 12 22 1,492 2,983
Furniture and related products ........... 30 32 2,371 3,047 8 8 593 762
Miscellaneous manufacturing .............. 13 7 1,113 488 3 2 278 122
Wholesale trade .............................. 29 28 2,262 2,334 7 7 566 584
Retail trade (4) ............................. 181 136 16,612 13,622 45 34 4,153 3,406
Building material and garden supply stores 16 8 1,501 1,011 4 2 375 253
Food and beverage stores ................. 31 25 2,575 1,882 8 6 644 471
Clothing and clothing accessories stores . 16 14 1,041 945 4 4 260 236
General merchandise stores ............... 77 52 8,406 7,502 19 13 2,102 1,876
Transportation and warehousing (4) ........... 137 87 13,404 6,419 34 22 3,351 1,605
Truck transportation ..................... 27 22 1,773 1,268 7 6 443 317
Transit and ground passenger
transportation ......................... 75 35 8,592 2,667 19 9 2,148 667
Support activities for transportation .... 5 7 324 603 1 2 81 151
Information .................................. 33 36 2,925 5,477 8 9 731 1,369
Finance and insurance ........................ 30 25 2,076 2,226 8 6 519 557
Real estate and rental and leasing ........... 4 3 207 178 1 1 52 45
Professional and technical services .......... 45 41 3,084 5,684 11 10 771 1,421
Management of companies and enterprises ...... 6 7 432 976 2 2 108 244
Administrative and waste services ............ 276 237 21,596 22,170 69 59 5,399 5,543
Educational services ......................... 17 10 1,770 609 4 3 443 152
Health care and social assistance ............ 36 23 2,053 1,461 9 6 513 365
Arts, entertainment, and recreation .......... 33 32 3,107 2,455 8 8 777 614
Accommodation and food services .............. 114 86 8,725 6,391 29 22 2,181 1,598
Accommodation ............................ 42 29 3,371 2,345 11 7 843 586
Food services and drinking places ........ 72 57 5,354 4,046 18 14 1,339 1,012
Other services, except public administration . 12 12 1,019 805 3 3 255 201
Unclassified ................................. 5 (3) 349 (3) 1 (3) 87 (3)
Government ....................................... 71 62 6,040 5,499 18 16 1,510 1,375
Federal ...................................... 13 9 1,196 933 3 2 299 233
State ........................................ 25 19 2,576 1,435 6 5 644 359
State government education .............. 9 8 602 443 2 2 151 111
Local ........................................ 33 34 2,268 3,131 8 9 567 783
Local government education .............. 12 12 788 1,350 3 3 197 338
1 Average weekly analysis mitigates the effect of differing lengths of months. There were 4 weeks in January 2012 and 4 weeks in January
2013. Average weekly events and initial claimants may not sum to subtotals and totals due to rounding.
2 Data were reported by all states and the District of Columbia.
3 Data do not meet BLS or state agency disclosure standards.
4 Includes other industries not shown.
NOTE: Dash represents zero.
Table 4. Region and state distribution: Mass layoff events and initial claimants for unemployment insurance, not
seasonally adjusted
Census region and state Mass layoff totals Average weekly mass layoffs (1)
Events Initial claimants Events Initial claimants
January January January January January January January January
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) ............... 1,705 1,528 141,703 144,517 426 382 35,426 36,129
Northeast .................. 386 272 34,860 21,049 97 68 8,715 5,262
Connecticut ............ 8 11 547 771 2 3 137 193
Maine .................. 8 10 658 899 2 3 165 225
Massachusetts .......... 18 7 1,821 587 5 2 455 147
New Hampshire .......... 7 - 504 - 2 - 126 -
New Jersey ............. 51 36 4,273 2,933 13 9 1,068 733
New York ............... 166 97 17,607 8,000 42 24 4,402 2,000
Pennsylvania ........... 120 105 8,912 7,265 30 26 2,228 1,816
Rhode Island ........... 5 (3) 318 (3) 1 (3) 80 (3)
Vermont ................ 3 (3) 220 (3) 1 (3) 55 (3)
South ...................... 496 515 43,925 52,634 124 129 10,981 13,159
Alabama ................ 55 82 6,489 8,434 14 21 1,622 2,109
Arkansas ............... 19 15 1,389 1,963 5 4 347 491
Delaware ............... (3) (3) (3) (3) (3) (3) (3) (3)
District of Columbia ... 4 3 263 259 1 1 66 65
Florida ................ 87 56 6,044 3,784 22 14 1,511 946
Georgia ................ 41 63 4,097 6,616 10 16 1,024 1,654
Kentucky ............... 33 24 2,847 1,738 8 6 712 435
Louisiana .............. 8 9 518 545 2 2 130 136
Maryland (4) ........... 10 21 624 1,539 3 5 156 385
Mississippi ............ 13 9 737 434 3 2 184 109
North Carolina ......... 84 100 7,468 11,999 21 25 1,867 3,000
Oklahoma ............... 6 3 443 241 2 1 111 60
South Carolina ......... 32 47 3,475 6,739 8 12 869 1,685
Tennessee .............. 24 14 1,820 934 6 4 455 234
Texas .................. 51 35 3,981 3,611 13 9 995 903
Virginia ............... 25 31 3,362 3,583 6 8 841 896
West Virginia .......... (3) (3) (3) (3) (3) (3) (3) (3)
Midwest .................... 386 339 31,060 31,994 97 85 7,765 7,999
Illinois ............... 55 53 4,823 6,251 14 13 1,206 1,563
Indiana ................ 40 22 3,594 2,138 10 6 899 535
Iowa ................... 17 22 1,271 2,045 4 6 318 511
Kansas ................. 8 7 815 622 2 2 204 156
Michigan ............... 53 54 3,962 3,727 13 14 991 932
Minnesota .............. 20 13 1,591 1,039 5 3 398 260
Missouri ............... 42 41 2,860 4,037 11 10 715 1,009
Nebraska ............... (3) (3) (3) (3) (3) (3) (3) (3)
North Dakota ........... (3) (3) (3) (3) (3) (3) (3) (3)
Ohio ................... 67 62 5,630 6,460 17 16 1,408 1,615
South Dakota ........... - - - - - - - -
Wisconsin .............. 78 57 6,014 4,994 20 14 1,504 1,249
West ....................... 437 402 31,858 38,840 109 101 7,965 9,710
Alaska ................. 8 (3) 731 (3) 2 (3) 183 (3)
Arizona ................ (3) 5 (3) 585 (3) 1 (3) 146
California ............. 342 303 23,787 29,088 86 76 5,947 7,272
Colorado ............... 5 11 556 1,787 1 3 139 447
Hawaii ................. 4 6 316 453 1 2 79 113
Idaho .................. 6 9 445 670 2 2 111 168
Montana ................ 5 7 503 543 1 2 126 136
Nevada ................. 14 11 1,323 950 4 3 331 238
New Mexico ............. 5 - 299 - 1 - 75 -
Oregon ................. 19 23 1,699 2,880 5 6 425 720
Utah ................... 7 7 514 526 2 2 129 132
Washington ............. 18 17 1,446 1,167 5 4 362 292
Wyoming ................ (3) (3) (3) (3) (3) (3) (3) (3)
Puerto Rico ............ 15 15 1,205 1,383 4 4 301 346
1 See footnote 1, table 3
2 See footnote 2, table 3.
3 Data do not meet BLS or state agency disclosure standards.
4 Data starting in June 2012 may not be comparable to prior data due to a change in MLS unemployment insurance
procedures.
NOTE: Dash represents zero.
United States Department of Labor
